Book description
Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets.
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Why read it?
1 author picked Python Polars as one of their favorite books. Why do they recommend it?
Polars is a new modern data frame library, powered by Apache Arrow, that has grown like wildfire in the Python ecosystem in recent years. It provides many of the same capabilities as pandas, but with substantially better performance and scalability.
I recommend that Python programmers become proficient at both Polars and pandas, since while pandas is ubiquitous, more and more work will shift to Polars in the coming years.
From Wes' list on Python books for leveling up your data skills.
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